Crowd-sourcing with uncertain quality - an auction approach

This article addresses two important issues in crowd-sourcing: ex ante uncertainty about the quality and cost of different workers and strategic behaviour. We present a novel multi-dimensional auction that incentivises the workers to make partial enquiry into the task and to honestly report quality-cost estimates based on which the crowd-sourcer can choose the worker that offers the best value for money. The mechanism extends second score auction design to settings where the quality is uncertain and it provides incentives to both collect information and deliver desired qualities

CCCI metrics for the measurement of quality of e-service

The growing development in web-based trust and reputation systems in the 21st century will have powerful social and economic impact on all business entities, and will make transparent quality assessment and customer assurance realities in the distributed web-based service oriented environments. The growth in web-based trust and reputation systems will be the foundation for web intelligence in the future. Trust and Reputation systems help capture business intelligence through establishing customer relationships, learning consumer behaviour, capturing market reaction on products and services, disseminating customer feedback, buyers? opinions and end-user recommendations, and revealing dishonest services, unfair trading, biased assessment, discriminatory actions, fraudulent behaviours, and un-true advertising. The continuing development of these technologies will help in the improvement of professional business behaviour, sales, reputation of sellers, providers, products and services. In this paper, we present a new methodology known as CCCI (Correlation, Commitment, Clarity, and Influence) for trustworthiness measure that is used in the Trust and Reputation System. The methodology is based on determining the correlation between the originally committed services and the services actually delivered by a Trusted Agent in a business interaction over the service oriented networks to determine the trustworthiness of the Trusted Agent

A Survey on True-reputation Algorithm for Trustworthy Online Rating System

The average of customer ratings on a product, which we call a reputation, is one of the key factors in online shoping. The common way for customers to express their satisfaction level with their purchases is through online ratings. The overall buyer?s satisfaction is quantified as the aggregated score of all ratings and is available to all buyers. This average score and reputation of a product acts as a guide for online buyers and highly influences consumer?s final purchase decisions. The trustworthiness of a reputation can be achieved when a large number of buyers involved in ratings with honesty. If some users wantedly give unfair ratings to a item, especially when few users have participated, the reputation of the product could easily be modified. In order to improve the trustworthiness of the products in e-commerce sites a new model is proposed with a true - reputation algorithm that repeatedly adjusts the reputation based on the confidence of the user ratings

Online Reputation Systems for the Health Sector

People who are seeking medical advice and care often find it difficult to obtain reliable information about the quality and competence of health service providers. While transparent quality evaluation of products and services is commonplace in most commercial services, public access to information about the quality of health services is usually very restricted. Online reputation and rating systems represent an emerging trend in decision support for service consumers. Reputation systems are based on collecting information about other parties in order to derive measures of their trustworthiness or reliability on various aspects. More specifically these systems use the Internet for the collection of ratings and for dissemination of derived reputation scores. Online rating systems applied to the health sector are already emerging. This article describes robust principles for implementing online reputation systems in the health sector. In order to prevent uncontrolled ratings, our method ensures that only genuine consumers of a specific service can rate that service. The advantage of using online reputation systems in the health sector is that it can assist consumers when deciding which health services to use, and that it gives an incentive for high quality health services among health service providers

A Step towards a Solution to Information Privacy Problem on Online Social Networks

Online social networks, such as Facebook and Twitter, have gained popularity in recent years. With that popularity, come security problems, especially problems with information privacy. This paper provides an overview of information privacy issues for online social networks. One way to solve this problem is to use cryptography. However, cryptography on online social networks has not been studied exclusively. Most works have been done on access control. The main issue with cryptography is the number of keys needed to encrypt and decrypt the information. The most obvious number of keys would be to use one key for every user in our group of friends. This is not needed or entirely true as we show here. This paper, therefore, gives an attempt to show that the number of keys needed to achieve secure sharing among friends can in fact be much smaller than the number of friends. The number of keys can actually be reduced by approximately 500% on average, using the method presented here. We also provide proofs of correctness and security to confirm our claim

A Hybrid Artificial Reputation Model

Agent interaction in a community such as an online buyer-seller scenario is often risky and uncertain. An agent interacts with other agents where initially they know nothing about each other. Currently many reputation models are developed that help consumers select more reputable and reliable service providers. Reputation models also help agents to make a decision on who they should trust and transact with in the future. These reputation models are either built on interaction trust that involves direct experience as a source of information, or they are built upon witness information, also known as word-of-mouth, that involves the reports provided by others. Neither the interaction trust nor the witness information models alone fully succeed in such uncertain interactions. This thesis research introduces the hybrid reputation model combining both interaction trust and witness information to address the shortcomings of existing reputation models when taken separately. Experiments reveal that the hybrid approach leads to better selection of trustworthy agents where consumers select more reputed service providers, eventually lead to more gains by the consumer. Furthermore, the trust model developed is used in calculating trust values of service providers for the case study with a live website ecommerce

Reputation for complex societies

Reputation, the germ of gossip, is addressed in this chapter as a distributed instrument for social order. In literature, reputation is shown to promote (a) social control in cooperative contexts—like social groups and subgroups—and (b) partner selection in competitive ones, like (e-) markets and industrial districts. Current technology that affects, employs and extends reputation, applied to electronic markets or multi-agent systems, is discussed in light of its theoretical background. In order to compare reputation systems with their original analogue, a social cognitive model of reputation is presented. The application of the model to the theoretical study of norm-abiding behaviour and partner selection are discussed, as well as the refinement and improvement of current reputation technology. The chapter concludes with remarks and ideas for future research.</p